Data Scientist
London / £55000 - £65000 annum
INFO
£55000 - £65000
LOCATION
London
Permanent
Data Scientist
London, hybrid working
£55,000 to £65,000 plus equity
This is an exciting opportunity to join a fast paced, data driven organisation where you will have real ownership of end‑to‑end modelling. You will work on high impact machine learning models that directly shape lending decisions across a rapidly expanding US portfolio, giving you scope to make a meaningful contribution from day one.The Company
They are a high growth fintech known for their strong technical culture, commercial success and continued expansion across multiple consumer finance products. Data sits at the heart of their decision making, and they are committed to building high quality, scalable models that drive product performance. Their multidisciplinary teams collaborate closely, ensuring ideas move quickly from concept to production.
The Role
* Build and optimise predictive machine learning models, including credit risk scorecards.
* Develop models across lending, income verification, early repayment and forecasting.
* Support the automation of lending decisions across loan and credit card products.
* Work on acquisition, income verification, marketing and direct mail models as US volumes grow.
* Manage the full modelling lifecycle, from data collection to deployment.
* Communicate insights and modelling decisions effectively to technical and non‑technical stakeholders.
Your Skills and Experience
* Strong commercial experience building machine learning models in Python.
* Solid command of SQL with the ability to work confidently with large datasets.
* Experience working with customer prediction models such as forecasting, segmentation or pricing.
* Ability to take ownership of projects and deliver independently.
* Strong analytical capability supported by a STEM academic background.
* Clear communication skills and the confidence to work closely with stakeholders.
Nice to have skills include experience in credit risk or scorecard modelling.
What They Offer
* Salary between £55,000 and £65,000.
* Equity package.
* Hybrid working pattern with office days Tuesday to Thursday.
* The chance to work on a growing US portfolio with significant modelling ownership and scope for impact.
* A collaborative environment focused on high standards, performance and progression.
How to Apply
To apply, send your CV.
CONTACT
Sarah Heywood-Jones
Recruitment Executive
SIMILAR
JOB RESULTS
Principal AI Engineer
San Francisco
$225000 - $250000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Principal AI Engineer
San Francisco, CA – 4 days onsite
$225,000 – $250,000 + bonus + LTI; $500,000-$700,000 total
THE COMPANY
Harnham is partnering with a top financial services company in the NYC area, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment.
RESPONSIBILITIES
- Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions.
- Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.
- Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.
- Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations.
- Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.
SKILLS AND EXPERIENCE
- Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.
- Over 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.
- Enterprise-level application experience, ideally in real-time preferred.
- Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.
- Experience as a tech-lead for scaling MLE teams preferred.
- Commercial experience combination of big tech and scaling startups / scrappy environments a plus.
BENEFITS
The compensation package contains a base salary, bonus, LTI and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents
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Senior Software Engineer, Data Platform
Costa Mesa
$231224.3 - $267733.4
+ Data Engineering
PermanentCosta Mesa, California
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Senior / Staff Software Engineer
Location: Costa Mesa, CA (Hybrid – minimum 3 days onsite)
Base Salary: $190,000 – $220,000+
Visa Sponsorship: Not available
Responsibilities
- Design and build real‑time streaming and batch data systems
- Own core platform architecture and implementation
- Modernize and scale data lake infrastructure
- Ensure high availability, observability, and reliability
- Partner with analytics, hardware, and engineering teams
Technical Focus
- Real‑time streaming pipelines (Kafka, Flink)
- Distributed compute (Spark)
- Backend services on top of data platforms
- Platform reliability and operational tooling
Experience & Requirements
- 6+ years of software engineering experience
- Strong background in data platforms and distributed systems
- Experience owning data lake or platform architecture
- Proficiency in:
- Python
- SQL
- Java or Scala
- Spark
- Kafka or Flink
To Apply for this Job Click Here
Senior Data Engineer
Manchester
£80000 - £100000
+ Data Engineering
PermanentManchester, Greater Manchester
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Senior Data Engineer
£80,000 – £100,000
Remote (UK-Based)
An opportunity for a highly technical Senior Data Engineer looking to join a fast-growing online gambling and sports betting platform that focuses on its first-in-class mobile app.
THE COMPANY
This future-ready online gambling and sports betting platform offers customers the best mobile app experience in the industry.
THE ROLE
As a Senior Data Engineer, you will sit within a high calibre data engineering team, owning and evolving core ETL pipelines that underpin the entire data platform. The focus is on building reliable, well-modelled data assets that can scale with the business.
Specifically, you can expect to be involved in the following:
- ETL pipelines for data ingestion and data modelling
- Using AWS to store and process data, with Snowflake as the data warehouse
- Use of Python and SQL
- Data orchestration and use of Terraform
SKILLS AND EXPERIENCE
The successful Senior Data Engineer will have the following skills and experience:
- Strong Python and SQL skills
- AWS or GCP (NOT Azure)
- Orchestration, ideally with Airflow or Dagsta but open to others
- Data warehousing – Snowflake, Redshift, BigQuery (NOT Databricks)
- Terraform
BENEFITS
The successful Senior Data Engineer will receive the following benefits:
- Salary between £80,000 – £100,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Engineer
Birmingham
£80000 - £100000
+ Data Engineering
PermanentBirmingham, West Midlands
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Senior Data Engineer
£80,000 – £100,000
Remote (UK-Based)
An opportunity for a highly technical Senior Data Engineer looking to join a fast-growing online gambling and sports betting platform that focuses on its first-in-class mobile app.
THE COMPANY
This future-ready online gambling and sports betting platform offers customers the best mobile app experience in the industry.
THE ROLE
As a Senior Data Engineer, you will sit within a high calibre data engineering team, owning and evolving core ETL pipelines that underpin the entire data platform. The focus is on building reliable, well-modelled data assets that can scale with the business.
Specifically, you can expect to be involved in the following:
- ETL pipelines for data ingestion and data modelling
- Using AWS to store and process data, with Snowflake as the data warehouse
- Use of Python and SQL
- Data orchestration and use of Terraform
SKILLS AND EXPERIENCE
The successful Senior Data Engineer will have the following skills and experience:
- Strong Python and SQL skills
- AWS or GCP (NOT Azure)
- Orchestration, ideally with Airflow or Dagsta but open to others
- Data warehousing – Snowflake, Redshift, BigQuery (NOT Databricks)
- Terraform
BENEFITS
The successful Senior Data Engineer will receive the following benefits:
- Salary between £80,000 – £100,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Engineer
$60 - $80
+ Data Engineering
ContractNew York
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Senior Data Engineer (Contract)
About Harnham
Harnham is a specialist in data and analytics recruitment. We place senior contractors who deliver production‑grade data platforms in regulated environments.
About the client
Our client is a healthcare and financial technology organisation modernising its finance and accounting data platforms. The team is building cloud‑native ingestion and analytics capabilities that support reporting, reconciliation, and operational finance at scale.
Role Details
- Role: Senior Data Engineer
- Location: Hybrid near NYC 1 day per week or fully remote
- Pay range: $60 to $80 per hour
- Start: Target mid‑May 2026
- Length: Contract through 31 December 2026
- Utilisation: 40 hours per week
- Employment type: Contract (W2 or C2C)
The role
This is a hands‑on senior data engineering contract with full ownership of the ingestion layer for finance and accounting data. You will design and operate robust ingestion pipelines, model data in Snowflake, and deliver analytics‑ready datasets used for reporting, reconciliation, and financial close. The role requires strong finance domain knowledge and the ability to operate independently in a regulated environment.
Key responsibilities
- Own end‑to‑end delivery of finance and accounting data solutions from source ingestion to production.
- Design, build, and operate reliable batch and near‑real‑time ingestion pipelines.
- Implement Snowflake data architectures and dbt transformation pipelines.
- Support financial reporting, reconciliations, close processes, and downstream analytics.
- Ensure data integrity, auditability, lineage, and validation checks.
- Mentor engineers and set standards for quality, observability, and governance.
Requirements: must have
- 4+ years of professional data engineering experience with deep ingestion ownership.
- Extensive hands‑on Snowflake experience.
- Experience using Snowflake Cortex (AI‑assisted development within Snowflake).
- Strong SQL skills including performance tuning and reconciliation logic.
- Experience supporting finance and accounting domains (GL, revenue, payments, billing, claims).
- Ability to work independently and communicate with finance stakeholders.
Nice to have
- dbt for transformations in Snowflake.
- Python for data engineering and automation.
- Experience with near‑real‑time ingestion patterns.
- Familiarity with CI/CD, Git, and Agile delivery.
- Regulated industry experience such as healthcare or financial services.
We will not be utilizing third parties for this search. Candidates reach out directly or apply below.
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Senior Data Platform Engineer
$175000 - $200000
+ Data Engineering
PermanentUSA
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Senior Data Platform Eng
Location: Remote (Must be US based)
Pay: $175k – $200k Base + equity
No Sponsorship Offered
Overview:
This fast‑growing health‑tech company is building a connected data ecosystem that supports better outcomes across complex care environments. Data sits at the core of the product, enabling real‑time visibility, longitudinal insights, and smarter clinical and operational decision‑making. The team is investing heavily in its data platform to scale alongside rapid customer and product growth.
The Senior Data Platform Engineer will take ownership of the company’s data infrastructure, ensuring it is scalable, secure, cost‑efficient, and built to support a wide range of data consumers across engineering, analytics, and machine learning.
Responsibilities:
- Own, maintain, and evolve the core data platform built on modern lakehouse and cloud technologies
- Partner closely with engineering, data science, ML, and analytics teams to understand current and future data needs
- Design and implement live and streaming data ingestion layers (e.g. Kafka, Kinesis or similar)
- Define standards for storage, compute, orchestration, data management, and provenance
- Monitor infrastructure performance, reliability, and cost, forecasting future requirements
- Implement and manage role‑based access controls and data governance practices
- Build reusable tooling and frameworks for data consumers, including data quality monitoring and backfilling capabilities
Must‑Have Qualifications:
- 5+ years’ experience in data infrastructure, data platform engineering, or data engineering
- Hands‑on experience with Databricks in a production environment
- Strong knowledge of modern data warehouse and lakehouse architectures
- Proven experience building and supporting scalable ETL / data pipelines
- Experience with access control, data governance, security, and observability
- Comfortable working in fast‑paced, high‑growth environments
To Apply for this Job Click Here
Power BI Developer
London
£475 - £500
+ Data Management & Governance
ContractLondon
To Apply for this Job Click Here
Power BI Analyst – 6‑Month Contract
Series C Data & AI Scale‑Up | High‑Impact BI Delivery
As a specialist BI, Data & AI recruiter, I’m working exclusively with a rapidly scaling Data & AI start‑up that has just secured Series C funding after four highly successful years. This is a business that has proven its model, won major clients, and is now investing heavily in analytics to support its next phase of growth.
They are looking to bring in a high‑calibre Power BI Analyst on an initial 6‑month contract to help elevate how data is consumed across the organisation.
The opportunity
This role is ideal for a hands‑on, delivery‑focused BI Analyst who enjoys owning work end‑to‑end and working closely with stakeholders. You’ll be embedded with multiple teams, helping them articulate the KPIs and metrics that matter, then transforming those requirements into clear, intuitive Power BI dashboards used to drive real business decisions.
What you’ll be responsible for
- Owning end‑to‑end BI projects, from requirements discovery through to dashboard delivery
- Engaging with stakeholders across product, commercial, operations and leadership to define KPIs
- Designing and building high‑quality Power BI dashboards with a strong focus on usability and insight
- Writing and optimising SQL to extract, model and transform data from multiple sources
- Acting as a trusted analytics partner – translating business questions into data‑led solutions
- Working at pace in a fast‑moving, scaling environment
What my client is looking for
- Strong, demonstrable Power BI development expertise (this is a dashboard‑heavy role)
- Advanced SQL skills and solid data modelling experience
- Proven end‑to‑end BI delivery experience
- Confident stakeholder management skills – able to challenge and influence when needed
- Experience working across multiple internal teams in agile or start‑up environments
- High energy, ownership mindset, and a genuine interest in building analytics that drive impact
Why this role stands out
- A chance to join a well‑funded, high‑growth Data & AI business at a pivotal point
- Exposure to high‑visibility analytics work with clear commercial impact
- Fast decision‑making, minimal red tape, and genuine autonomy
- Ideal for contractors who thrive in scale‑up environments and like to see the results of their work quickly
If you’re a Power BI‑led BI Analyst who enjoys close stakeholder interaction and end‑to‑end ownership, this is a contract worth serious consideration.
To Apply for this Job Click Here
Senior Analytics Engineer – Healthcare
Remote
$140000 - $180000
+ Data Engineering
PermanentNorth Carolina
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Senior Analytic Engineer (Healthcare Data)
Remote – U.S. Based | No Sponsorship
A rapidly growing, tech-enabled healthcare organization is building out its next-generation analytics platform-and is hiring a Senior Analytic Engineer to play a foundational role in that evolution.
This organization operates at the intersection of integrated care delivery and modern data infrastructure, providing coordinated medical and behavioral health services to patients in long-term care settings. Backed by significant investment and scaling through acquisition, the company is making a major push into data, AI, and advanced analytics to improve patient outcomes and operational efficiency.
If you’re someone who wants to own core data models, shape how the business understands its data, and enable AI-driven analytics, this is a high-impact opportunity.
The Role
You’ll sit at the center of the data ecosystem-owning the semantic layer and core data models that power BI, self-service analytics, and emerging AI/LLM-driven tools.
This is not a dash-boarding role. It’s a highly technical, business-facing position focused on transforming raw healthcare data into clean, scalable, and trusted data models that drive decision-making.
You’ll bridge:
- Data engineering
- Business context
- Analytic consumption (BI + AI tools)
What You’ll Do
- Design, build, and maintain scalable data models using dbt and SQL
- Own and define the semantic / metrics layer across the organization
- Translate complex business questions into structured, reusable data definitions
- Enable self-service analytics and natural language querying via AI tools
- Standardize and govern key metrics across clinical, operational, and financial domains
- Partner closely with stakeholders, BI teams, and data engineers to ensure data is accurate, accessible, and actionable
- Structure data to support modern analytics tools (e.g., semantic layer platforms, AI-driven BI)
What You Bring
- 6-8+ years of experience across analytics engineering, BI, or data engineering
- Deep experience working with healthcare data systems, including:
- EHR / EMR platforms
- Medical claims data
- Interoperability standards like HL7 and FHIR
- Strong understanding of:
- Clinical vs. transactional healthcare data
- Claims and payer workflows
- HIPAA-compliant data handling and governance
- Advanced SQL skills
- Hands-on experience with dbt (macros, snapshots, exposures, metrics layer)
- Proven expertise in:
- Data modeling
- Semantic layer design
- Embedding business logic into analytics systems
Nice to Have
- Experience with modern data platforms like Snowflake or Databricks
- Familiarity with semantic layer tools (LookML, AtScale, Cube, etc.)
- Exposure to AI-enabled BI tools (ThoughtSpot, Sigma, etc.)
- Experience with data observability or orchestration tools
Why This Role
- Greenfield impact: Help define how analytic is built and scaled
- AI-forward: Work at the forefront of agentic and LLM-driven analytics
- Mission-driven: Directly impact care for underserved and high-risk populations
- High growth: Join a rapidly scaling healthcare platform investing heavily in data
What Success Looks Like
- A clean, scalable semantic layer that supports both humans and AI
- Consistent, trusted metrics used across the business
- Seamless self-service analytics for non-technical users
- A strong foundation for AI-driven decision-making
Who You Are
You’re a hybrid thinker-equally comfortable with data modeling and business context. You’re curious, forward-thinking, and excited about where analytic is headed (AI, semantic layers, self-service). Most importantly, you want your work to have real-world impact, not just sit in dashboards.
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Senior Data Engineer (AWS, Airflow, DBT)
Birmingham
£80000 - £100000
+ Data Engineering
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Senior Data Engineer
Up to £100,000 + Benefits
Remote – UK
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering projects and play a key role in shaping a modern, scalable data platform.
THE COMPANY:
This a next‑generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.
THE ROLE:
You will take ownership of the full data engineering lifecycle.
Key responsibilities include:
- Owning end‑to‑end data engineering projects across the platform
- Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
- Developing robust data models aligned with industry best practices
- Ensuring high standards of data quality through testing, monitoring and alerting
- Driving engineering best practices, contributing to code reviews and mentoring other engineers
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Python and advanced SQL
- Building and maintaining production‑grade data pipelines
- Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
- Data modelling methodologies (Kimball, Data Vault, etc.)
- Engineering best practices including testing, version control and clean code
- AWS experience
THE BENEFITS:
You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home‑office setup.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Senior Data Engineer (AWS, Airflow, DBT)
Nottingham
£80000 - £100000
+ Data Engineering
PermanentNottingham, Nottinghamshire
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Senior Data Engineer
Up to £100,000 + Benefits
Remote – UK
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering projects and play a key role in shaping a modern, scalable data platform.
THE COMPANY:
This a next‑generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.
THE ROLE:
You will take ownership of the full data engineering lifecycle.
Key responsibilities include:
- Owning end‑to‑end data engineering projects across the platform
- Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
- Developing robust data models aligned with industry best practices
- Ensuring high standards of data quality through testing, monitoring and alerting
- Driving engineering best practices, contributing to code reviews and mentoring other engineers
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Python and advanced SQL
- Building and maintaining production‑grade data pipelines
- Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
- Data modelling methodologies (Kimball, Data Vault, etc.)
- Engineering best practices including testing, version control and clean code
- AWS experience
THE BENEFITS:
You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home‑office setup.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Senior Data Engineer (AWS, Airflow, DBT)
Cardiff
£80000 - £100000
+ Data Engineering
PermanentCardiff
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Senior Data Engineer
Up to £100,000 + Benefits
Remote – UK
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering projects and play a key role in shaping a modern, scalable data platform.
THE COMPANY:
This a next‑generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.
THE ROLE:
You will take ownership of the full data engineering lifecycle.
Key responsibilities include:
- Owning end‑to‑end data engineering projects across the platform
- Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
- Developing robust data models aligned with industry best practices
- Ensuring high standards of data quality through testing, monitoring and alerting
- Driving engineering best practices, contributing to code reviews and mentoring other engineers
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Python and advanced SQL
- Building and maintaining production‑grade data pipelines
- Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
- Data modelling methodologies (Kimball, Data Vault, etc.)
- Engineering best practices including testing, version control and clean code
- AWS experience
THE BENEFITS:
You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home‑office setup.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Senior Data Engineer (AWS, Airflow, DBT)
Edinburgh
£80000 - £100000
+ Data Engineering
PermanentEdinburgh
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Senior Data Engineer
Up to £100,000 + Benefits
Remote – UK
This is a great opportunity to join a high‑growth organisation where you can take ownership of end‑to‑end data engineering projects and play a key role in shaping a modern, scalable data platform.
THE COMPANY:
This a next‑generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.
THE ROLE:
You will take ownership of the full data engineering lifecycle.
Key responsibilities include:
- Owning end‑to‑end data engineering projects across the platform
- Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
- Developing robust data models aligned with industry best practices
- Ensuring high standards of data quality through testing, monitoring and alerting
- Driving engineering best practices, contributing to code reviews and mentoring other engineers
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Python and advanced SQL
- Building and maintaining production‑grade data pipelines
- Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
- Data modelling methodologies (Kimball, Data Vault, etc.)
- Engineering best practices including testing, version control and clean code
- AWS experience
THE BENEFITS:
You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home‑office setup.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
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